MPC Versus PID for Closed Loop Insulin Delivery
Use of a PID (Proportional-Integral-Derivative) Controller Versus an MPC (Model Predictive Control) Controller Algorithm and Health Monitoring System (HMS) for Closed-Loop Insulin Delivery
1 other identifier
interventional
20
1 country
1
Brief Summary
The goal of this proposed study is to compare use of a PID (Proportional-Integral-Derivative) controller versus an MPC (Model Predictive Control) controller algorithm in an artificial pancreas system, all other components and study design being equal. The study design, power calculation and endpoints were developed based on the results of an initial feasibility study (ClinicalTrials.gov Identifier: NCT01987206) that has already been completed.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started May 2015
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 1, 2015
CompletedFirst Submitted
Initial submission to the registry
May 6, 2015
CompletedFirst Posted
Study publicly available on registry
May 8, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2015
CompletedStudy Completion
Last participant's last visit for all outcomes
September 1, 2015
CompletedJuly 22, 2016
July 1, 2016
4 months
May 6, 2015
July 20, 2016
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Time spent in safe blood glucose range
The percentage of time spent in safe blood glucose range of 70-180 mg/dl, comparing MPC, PID and the 24-hour period of Open-Loop Care just prior to each study session. More time spent inside the desired range will be considered successful.
27.5-hours
Secondary Outcomes (1)
Glucose level extremes and need for outside intervention
27.5-hours
Study Arms (3)
Open-Loop Care
NO INTERVENTIONThe subjects Open-Loop Care for the 24-hour period prior to each study sessions assessed for time in the target range 70-180 mg/dL, and frequency of hypoglycemia and hyperglycemia as assessed by CGM.
PID algorithm with HMS
EXPERIMENTALSubjects will be treated with closed-loop care for 27.5h using a proportional-integral-derivative (PID) control algorithm, incorporating a personalized model of glucose-insulin dynamics. The health monitoring system (HMS) predicts impending hypoglycemia, and will be used in both experimental arms as an important safety feature of the device.
MPC algorithm with HMS
EXPERIMENTALSubjects will be treated with closed-loop care for 27.5h using a model predictive control (MPC) control algorithm with HMS, using the identical model as in the first experimental arm. The health monitoring system (HMS) predicts impending hypoglycemia, and will be used in both experimental arms as an important safety feature of the device.
Interventions
Eligibility Criteria
You may qualify if:
- Clinical diagnosis of type 1 diabetes for at least one year and using an insulin pump for at least 6 months with commercially available rapid acting insulin.
- The diagnosis of type 1 diabetes is based on the investigator's judgment; C peptide level and antibody determinations are not needed.
- Age 21 to 65 years
- For females, not currently known to be pregnant or nursing
- HbA1c between 5 to 10%, as measured with DCA2000 or equivalent device
- Willing to perform the calibration of the study CGMs using a fingerstick only and willing to follow instructions for insulin pump and CGM wear.
- Willing to use the study CGM and study insulin pump during closed-loop.
- Able to and agrees to avoid the following medication starting 24 hours before sensor wear through completion of the close loop study visit: acetaminophen, prednisone, and pseudoephedrine.
- An understanding of and willingness to follow the protocol and sign the informed consent.
You may not qualify if:
- Exhibit hypoglycemia unawareness.
- Indications of cardiac arrhythmia.
- Pregnancy (as determined by a positive blood pregnancy test performed in females of childbearing capacity during screening visit and urine test at time of admission for in-patient visit) or nursing mother.
- Diabetic ketoacidosis in the past 6 months prior to enrollment requiring emergency room visit or hospitalization
- Severe hypoglycemia resulting in seizure or loss of consciousness in the 12 months prior to enrollment
- Current treatment for a seizure disorder; Subjects with a history of seizures may be included in the study if they receive written clearance from their neurologist
- Active infection
- A known medical condition that in the judgment of the investigator might interfere with the completion of the protocol such as cognitive deficit.
- Mental incapacity, unwillingness or language barriers precluding adequate understanding or co-operation, including subjects not able to read or write.
- Coronary artery disease or heart failure.
- Subjects with a history of coronary artery disease may be included in the study if they receive written clearance from their cardiologist
- Presence of a known adrenal disorder
- Active gastroparesis
- If on antihypertensive, thyroid, anti-depressant or lipid lowering medication, lack of stability on the medication for the past 2 months prior to enrollment in the study
- Uncontrolled thyroid disease; Adequately treated thyroid disease and celiac disease do not exclude subjects from enrollment
- +12 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
William Sansum Diabetes Center
Santa Barbara, California, 93105, United States
Related Publications (1)
Pinsker JE, Lee JB, Dassau E, Seborg DE, Bradley PK, Gondhalekar R, Bevier WC, Huyett L, Zisser HC, Doyle FJ 3rd. Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas. Diabetes Care. 2016 Jul;39(7):1135-42. doi: 10.2337/dc15-2344. Epub 2016 Jun 11.
PMID: 27289127RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jordan E Pinsker, MD
Sansum Diabetes Research Institute
- PRINCIPAL INVESTIGATOR
Eyal Dassau, PhD
University of California, Santa Barbara
- PRINCIPAL INVESTIGATOR
Francis J Doyle III, PhD
University of California, Santa Barbara
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 6, 2015
First Posted
May 8, 2015
Study Start
May 1, 2015
Primary Completion
September 1, 2015
Study Completion
September 1, 2015
Last Updated
July 22, 2016
Record last verified: 2016-07